Tool path planning and milling surface simulation for vehicle rear bumper mold

Wang, Peng; Zhang, Song; Li, Zhe; Li, Jianfeng

doi:10.1177/1687814016641569

Cited by 12 publications

(4 citation statements)

References 19 publications

(19 reference statements)

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“…The surface topography model used in this research is based on our previous work and detailed introduced by Wang et al ( [31]). The modelling objective of this research is a round indexable insert (RDHW 10T3MO-MD04, Seco Company, Fagersta, Sweden) whose diameter is 10 mm.…”

Section: Simulation Model Of 3d Surface In End Millingmentioning

confidence: 99%

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Effects of Feed per Tooth and Radial Depth of Cut on Amplitude Parameters and Power Spectral Density of a Machined Surface

Zhang

2020

Materials

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Surface topography and roughness significantly affect the functional properties of engineering parts. In this study, a mathematical model simulating the surface topography in end milling is presented and verified by milling experiments. The three dimensional (3D) surface amplitude parameters (arithmetic average deviation Sba and root mean square deviation Sq) of the milled surface were calculated by using the model and the effects of the product (p) and ratio (r) of radial depth of cut ae and feed per tooth fz on amplitude parameters were researched. To evaluate the lateral characteristics of the milled surface, one dimensional (1D) power spectral densities (PSD) along both feed and step-over direction were calculated and investigated. It was found that fz affects 1D PSD along both directions, whereas ae affects 1D PSD along the step-over direction. An angular spectrum, derived from the area power spectral density (APSD), was employed to research the spatial distribution of spectral energy on the milled surface. Furthermore, the influences of p and r on the PSD properties were researched. It was found that r is the significant factor that influences the direction of surface energy spectrum distribution.

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Section: Simulation Model Of 3d Surface In End Millingmentioning

confidence: 99%

“…After the kinematic equation of the cutting edge was derived, the algorithm presented by Wang et al ( [31]) was used to generate the surface topography in end milling. The whole algorithm was realized by using MATLAB software (MATLAB 7.13, MathWorks, Natick, MA, USA).…”

Section: Modelling Of Cutting Tool Insert Trajectorymentioning

confidence: 99%

Effects of Feed per Tooth and Radial Depth of Cut on Amplitude Parameters and Power Spectral Density of a Machined Surface

Zhang

2020

Materials

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“…Zhao et al [6] proposed a mathematical model of screw rotor precision grinding using a computer numerical control (CNC) grinding wheel dressing. Wu and Fan [7] introduced a mathematical model for a cutting simulation of screw rotor form grinding on a vertical multi-axis CNC machine. Screw milling cutter profile has a high impact on the machined rotor profile accuracy, where it can be generated according to a pair meshing among the screw rotor and the cutter wheel [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Analytical Method for Screw Rotor Cutting according to the Cutter Workpiece Engagement Model

Arifin

2022

J. Mod. Mech. Eng. Technol.

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The proper screw rotor cutting process is essential to obtain a precise rotor profile; however, it is a costly and high hazard if studied in a practical method. This study introduces an analytical screw cutting method to ensure the cutting process is running well and acquire the expected rotor profile. Two distinct cutter types, a cutter with a single curve and multiple inserts cutting edge, were applied. The analytical screw cutting method was developed according to the cutter-workpiece engagement model. The result reveals that the analytical screw cutting model using various cutters can generate identical simulated profiles and close to the original rotor profile. In addition, the virtual machining verification using VERICUT software was conducted to evaluate the proposed method. Conclusively, the analytical screw cutting method is reliable and realistic to be applied in screw rotor milling.

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“…End milling is one of the most expensive [10][11][12] and significantly timeconsuming machining, requiring precision, skill and expertise of the milling operator [13]. Furthermore, end milling is a specialized aspect with many jobs from the assembly operations such as automobile systems [14], and any mistake on the machining process could result in the wasteful dumping of worked materials for new ones or re-processing [15]. Therefore, the optimisation of the process is critical for judicious resource utilization [16][17][18].…”

mentioning

confidence: 99%

Surface Roughness Prediction and Optimisation using Novel Joint Artificial Neural Network and Bat Algorithm

Ighravwe¹,

Oke²

2022

IJIE

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This paper targets the surface roughness concept in end milling in which the tool-work material combination is central to its success. At present, sufficientoptimal surface roughness information is repeatedly not accessible to CNC end milling operators and this problem is anticipated to grow worse in the forthcomingyears. Consequently, the unique development and validation of optimisation tools are interventions to tackle access to optimal roughness information problems. This paper examined two novel models, the combined artificial neural network and bat algorithm as well as joint artificial neural network and particle swarm optimisation to predict and optimise the process parameters of an end milling scheme. Both models were tested with literature data. Additionally, the work investigates machining time and introduces a bi-objective fuzzy goal programming optimisation model. The striking results revealed the optimal values as 0.8816 and 0.8088 for the particle swarm optimisation procedurewhile the bat procedureyielded 0.275 and 0.178, which places the bat procedureahead of the counterpart, particle swarm optimization procedure.

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Tool path planning and milling surface simulation for vehicle rear bumper mold

Cited by 12 publications

References 19 publications

Effects of Feed per Tooth and Radial Depth of Cut on Amplitude Parameters and Power Spectral Density of a Machined Surface

Effects of Feed per Tooth and Radial Depth of Cut on Amplitude Parameters and Power Spectral Density of a Machined Surface

Analytical Method for Screw Rotor Cutting according to the Cutter Workpiece Engagement Model

Surface Roughness Prediction and Optimisation using Novel Joint Artificial Neural Network and Bat Algorithm

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